Search result for Metrics for evaluation Online Courses & Certifications
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AI Workflow: Machine Learning, Visual Recognition and NLP
by Mark J Grover , Ray Lopez, Ph.D.- 4.5
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Approx. 14 hours to complete
The first topic covers the complex topic of evaluation metrics, where you will learn best practices for a number of different metrics including regression metrics, classification metrics, and multi-class metrics, which you will use to select the best model for your business challenge. Employ evaluation metrics to select models for production use...
Successfully Evaluating Predictive Modelling
by Dr Johannes De Smedt , Obinna Unigwe , Sofia Varypati- 0.0
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6 Weeks
Gain an in-depth understanding of evaluation and sampling approaches for effective predictive modelling using Python. This course will equip you with essential skills for understanding performance evaluation metrics, using Python, to determine whether a model is performing adequately. Procedures that are used to ensure that models do not cheat through, for example, overfitting or predicting incorrect distributions...
$300
Recommender Systems: Evaluation and Metrics
by Michael D. Ekstrand , Joseph A Konstan- 4.4
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Approx. 7 hours to complete
You will learn how different metrics relate to different user goals and business goals. Introduction to Evaluation and Metrics The Goals of Evaluation Basic Prediction and Recommendation Metrics Hidden Data Evaluation Prediction Accuracy Metrics Decision Support Metrics Rank-Aware Top-N Metrics Basic Prediction and Recommendation Metrics Assignment Advanced Metrics and Offline Evaluation Offline Evaluation and Metrics Quiz...
Creating Measures and Metrics using the ITIL 4 Framework
by Jason Dion • 275,000+ Students Worldwide- 4.4
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1.5 hours on-demand video
Every organization uses metrics and measurements to determine where they are, and where they want to be. But, do you know how to create these metrics and properly measure them to drive actions across your organization?...
$9.99
Machine Learning With Big Data
by Mai Nguyen , Ilkay Altintas- 4.6
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Approx. 22 hours to complete
Instructions for Downloading Hands On Datasets Instructions for Starting Jupyter PDFs of Readings for Week 1 Hands-On PDFs of Activities for Data Exploration Hands-On Readings Slides: Data Preparation for Machine Learning PDFs for Data Preparation Hands-On Readings Slides: Model evaluation metrics and methods PDFs for Evaluation of Machine Learning Models Hands-On Readings...
Artificial Neural Networks [ Theory & Hands-On ]
by Academy of Computing & Artificial Intelligence- 4.5
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2 hours on-demand video
The course will have step by step guidance for Artificial Neural network development in Python. Setting up the Environment for Artificial Neural Networks ( Python Machine Learning ) Evaluation Metrics...
$11.99
Applied Machine Learning in Python
by Kevyn Collins-Thompson- 4.6
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Approx. 34 hours to complete
Supervised approaches for creating predictive models will be described, and learners will be able to apply the scikit learn predictive modelling methods while understanding process issues related to data generalizability (e. Python Tools for Machine Learning Notice for Auditing Learners: Assignment Submission Confusion Matrices & Basic Evaluation Metrics Model Selection: Optimizing Classifiers for Different Evaluation Metrics...
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Machine Learning with Python
by SAEED AGHABOZORGI , Joseph Santarcangelo- 4.7
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Approx. 21 hours to complete
By just putting in a few hours a week for the next few weeks, this is what you’ll get. Python for Machine Learning Model Evaluation in Regression Models Evaluation Metrics in Regression Models Evaluation Metrics in Classification OPTIONAL: Signing-up for a Watson Studio Account...
Evaluations of AI Applications in Healthcare
by Tina Hernandez-Boussard , Mildred Cho- 4.5
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Approx. 11 hours to complete
The Stanford University School of Medicine is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians. Best Ethical Practices for AI in Health Care Principles and practical considerations for integrating AI into clinical workflows What standard evaluation metrics do and do not provide...
AI for Medical Diagnosis
by Pranav Rajpurkar , Bora Uyumazturk , Amirhossein Kiani , Eddy Shyu- 4.7
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Approx. 19 hours to complete
As a learner, you will be set up for success in this program if you are already comfortable with some of the math and coding behind AI algorithms. The demand for AI practitioners with the skills and knowledge to tackle the biggest issues in modern medicine is growing exponentially. Sensitivity, Specificity, and Evaluation Metrics...
